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AI Literacy & Prompting Module 6

AI at work interview questions

Interview questions on AI at work: short warm-ups, then what each harder question tests, the first step of a good answer and its follow-ups.

18 questions: 6 warm-ups and 12 with model answers · Levels: Fresher to senior

Warm-up questions

Short questions with short answers, each answered in full.

  1. Fresher to mid

    How does automating a task with AI differ from augmenting the person who does it?

    Answered in the lesson Deciding which tasks to hand to AI

  2. Fresher to mid

    Why should you compare an AI-edited text with your original before you send it, and how?

    Answered in the lesson Writing and editing with AI

  3. Fresher to mid

    How does an extractive summary differ from a generative one, and when is each safer?

    Answered in the lesson Summarising documents and meetings

  4. Fresher to mid

    How do you test a spreadsheet formula that an AI tool wrote before you use it on a whole sheet?

    Answered in the lesson Spreadsheets and data analysis with AI

  5. Fresher to mid

    Why should you write your selection criteria before you ask an AI tool for ideas?

    Answered in the lesson Brainstorming, images and creative work

  6. Fresher to mid

    What should a one-page AI policy for a small team contain?

    Answered in the lesson Team AI policies and working norms

Questions with model answers

What each question tests, the first step of a good answer and the follow-ups to expect.

  1. Fresher to mid

    Your manager asks everyone in the team to use AI for all their work and expects each person to save a fifth of their time. How would you decide which of your tasks to hand to AI, and how would you show what it really saves?

    What it tests
    Splitting work into tasks, rating stakes, checkability and context, choosing a handover for each task, and measuring savings with the checking time included.
    First step
    List a normal week's tasks and rate each one: what a slip would cost and whom it would reach, how quickly you could check the output, and what context it needs that you may not share. Pick three tasks that suit an AI draft or AI help, and time them by hand and with AI, counting the prompt, the wait, the check and the fixes.
    Follow-ups

    From the lesson Deciding which tasks to hand to AI

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    In the answer:

    • Model answer
    • Follow-up answers
    • Common mistakes
    • Rubric
    • Variants
    • about 4 minutes

  2. Mid to senior

    A colleague proposes letting an AI tool answer customer complaints by itself overnight, so that nobody has to read them until morning. What would you ask before agreeing, and what would you propose instead?

    What it tests
    Telling automation from augmentation, judging stakes and whether a mistake can be undone, automation bias, and placing human checks where they matter.
    First step
    Ask what a wrong reply would cost and whether it could be undone: a promised refund, a wrong deadline or a blamed colleague cannot be taken back. Ask what facts the replies need that the tool does not have. Then sort complaints by type, and keep a person between the draft and the customer for every reply that promises, decides or blames.
    Follow-ups

    From the lesson Deciding which tasks to hand to AI

    In the answer:

    • Model answer
    • Follow-up answers
    • Common mistakes
    • Rubric
    • Variants
    • about 3 minutes

  3. Fresher to mid

    You asked an AI tool to make a customer email "firmer". It now reads well, and your manager wants it sent in ten minutes. How do you check it before it goes?

    What it tests
    Reviewing an AI edit through a diff, checking facts against a list, spotting dropped sentences and new promises, and deciding under time pressure.
    First step
    Put the original and the edit side by side in a diff tool, so that every change is listed, and keep the wording changes you asked for. Then check your list of the facts the email must carry, such as names, numbers, days, amounts and contact details, against the edit, and look for any sentence that was dropped or promise that was added.
    Follow-ups

    From the lesson Writing and editing with AI

    In the answer:

    • Model answer
    • Follow-up answers
    • Common mistakes
    • Rubric
    • Variants
    • about 3 minutes

  4. Mid to senior

    Your team writes client reports with AI help, and every report is checked before it goes out. A client asks whether AI wrote the report they paid for. How would you answer, and what disclosure policy would you propose for the team?

    What it tests
    Honest disclosure, what readers and contracts expect, accountability for checked work, and a practical policy that says what AI did and who checked it.
    First step
    Answer truthfully: say what the AI tool did, such as drafting sections or tightening the wording, and what people did, such as gathering the data, checking every figure and writing the conclusions. Then check what the client's contract says about AI. For the team, propose a short policy: when to disclose, the wording, and a record of who checked each report.
    Follow-ups

    From the lesson Writing and editing with AI

    In the answer:

    • Model answer
    • Follow-up answers
    • Common mistakes
    • Rubric
    • Variants
    • about 3 minutes

  5. Fresher to mid

    Minutes that an AI tool made of a project meeting gave a task to the wrong person, and nobody noticed until its deadline passed. How would you change the way your team turns meetings into minutes?

    What it tests
    Tracing action items to the transcript, correcting transcripts, consent for recordings, and having the people present confirm the minutes.
    First step
    Trace the failure: find the line of the transcript where someone took the task on, and see whose name the minutes gave it. Then change the routine so that every action item is traced to such a line before the minutes go out, and everyone present confirms their own items.
    Follow-ups

    From the lesson Summarising documents and meetings

    In the answer:

    • Model answer
    • Follow-up answers
    • Common mistakes
    • Rubric
    • Variants
    • about 3 minutes

  6. Mid to senior

    Your director wants a one-page summary of a 60-page audit report by tomorrow, made with an AI tool. How would you make sure the summary is faithful, and what would you give the director with it?

    What it tests
    Summarising long documents section by section, traceable points with quotes, checking both ways against the source, and saying what was and was not checked.
    First step
    Split the report at its section headings and summarise each section on its own, asking for findings, figures, deadlines and open questions, each with its paragraph number and a short quote. Check each part against its section before combining them, then list the report's own findings, deadlines and amounts and tick each one in the one-page summary.
    Follow-ups

    From the lesson Summarising documents and meetings

    In the answer:

    • Model answer
    • Follow-up answers
    • Common mistakes
    • Rubric
    • Variants
    • about 3 minutes

  7. Fresher to mid

    A formula an AI tool wrote for your school's attendance sheet has been in use for a month. A teacher says one pupil's percentage looks too low. How do you work out how far the error goes and put it right?

    What it tests
    Testing formulas on rows worked out by hand, finding range and reference slips, measuring the spread of an error, fixing it and telling the people affected.
    First step
    Work out that pupil's attendance by hand and compare it with the sheet. Then read the formula in that row and in the first row: check its range against the month's columns and whether its references move when it is filled down. Test it on rows chosen at the edges, such as a pupil present on the last day.
    Follow-ups

    From the lesson Spreadsheets and data analysis with AI

    In the answer:

    • Model answer
    • Follow-up answers
    • Common mistakes
    • Rubric
    • Variants
    • about 3 minutes

  8. Mid to senior

    An AI tool looked at twelve months of your shop's sales and says the new campaign caused a 40 per cent rise. Your manager wants to double the campaign budget. What would you check before agreeing?

    What it tests
    Recomputing a stated figure, comparing averages and trends before and after, the effect of one extreme month, causation without a comparison, and misleading charts.
    First step
    Recompute the 40 per cent from the table and see which two months it compares. Then compare the average before the campaign with the average after it, with and without the most extreme month, and the trend before the campaign with the trend after it. Ask what comparison, such as the same months a year earlier, could separate the campaign from everything else.
    Follow-ups

    From the lesson Spreadsheets and data analysis with AI

    In the answer:

    • Model answer
    • Follow-up answers
    • Common mistakes
    • Rubric
    • Variants
    • about 3 minutes

  9. Fresher to mid

    Marketing wants a realistic AI image of the company's founder lighting a diya, for a Diwali greeting to every customer. The founder is travelling and has not seen the idea. What would you check and decide before it goes out?

    What it tests
    Consent for a real person's likeness, labelling realistic synthetic images, the platform rules on synthetic media, and offering an alternative that still meets the deadline.
    First step
    Ask whether the founder has agreed to be shown in a made-up scene; until he has, the realistic image is not made. Then think of the customers: a realistic picture would be taken for a photo, so it carries a clear note that AI made it, and the platforms it is posted on may ask for a declaration.
    Follow-ups

    From the lesson Brainstorming, images and creative work

    In the answer:

    • Model answer
    • Follow-up answers
    • Common mistakes
    • Rubric
    • Variants
    • about 3 minutes

  10. Mid to senior

    Your team now starts every campaign from AI ideas, and its last three campaigns looked much like its competitors'. How would you change the way the team generates and chooses ideas?

    What it tests
    Sameness in AI output, measuring how many ideas a list really holds, prompting for range, rubrics written first, and the team's own context and material.
    First step
    Look at how the ideas were asked for and chosen: the prompts, how many different ideas the lists really held, and whether the criteria were written before or after reading. Then change the order of the work: people's own ideas first, the AI asked in named groups with the team's limits, a rubric written before any list, and the team's own material in the final work.
    Follow-ups

    From the lesson Brainstorming, images and creative work

    In the answer:

    • Model answer
    • Follow-up answers
    • Common mistakes
    • Rubric
    • Variants
    • about 3 minutes

  11. Mid to senior

    A colleague pasted a client's balance sheet into a personal AI account, against your team's policy, and tells you an hour later. What do you do in the first hour, and what changes afterwards?

    What it tests
    Incident response in order (contain, record, decide who must know), retention of deleted chats, the client's contract and data protection duties, finding the cause and keeping reporting safe.
    First step
    Thank the colleague for telling you, then contain it together: delete the chat and the file from the account, note its training and history settings, and stop any sharing. Record what data, which client, which tool and when. Then the people the policy names decide, from the client's contract and the law, whether and how the client is told.
    Follow-ups

    From the lesson Team AI policies and working norms

    In the answer:

    • Model answer
    • Follow-up answers
    • Common mistakes
    • Rubric
    • Variants
    • about 3 minutes

  12. Mid to senior

    You are choosing an AI tool for a firm that handles clients' tax records. What do you ask the vendor, and which answers would rule the tool out?

    What it tests
    Training use, retention, location and sub-processors, admin controls and audit logs, deletion on exit and incident notice, with written answers and deal-breakers tied to the firm's data rules.
    First step
    Write down what the firm needs before any demo: no training on its data, retention it can shorten, known regions and sub-processors, accounts and logs it controls, deletion when it leaves and notice of incidents. Then ask each question in writing, and treat any answer that is missing from the contract as a no.
    Follow-ups

    From the lesson Team AI policies and working norms

    In the answer:

    • Model answer
    • Follow-up answers
    • Common mistakes
    • Rubric
    • Variants
    • about 3 minutes

All AI Literacy & Prompting interview questions · The AI Literacy & Prompting track